Top Machine Learning Jobs in Krakow

As an Enterprise Sales Representative at SailPoint, you will focus on selling the IGA Solution Suite to large organizations, navigate multinational accounts, and engage with senior decision makers to negotiate high value contracts. Success involves building relationships, understanding client needs, and leveraging channel partners throughout a lengthy sales cycle using the Challenger sales methodology.

The Senior Machine Learning Engineer IV at OpenX will enhance and maintain machine learning pipelines, streamline processes, optimize models, and collaborate with cross-functional teams to deliver robust infrastructure for model training and deployment.

The Solution Architect for Digital Transformation will design and implement technology solutions for banking transformation, collaborating with stakeholders to align architectures with strategic and regulatory goals. Responsibilities include high-level design reviews, architecture recommendations, and ensuring solutions meet industry standards while driving adoption of modern practices like DevOps and microservices.

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.

As a Supply Chain AI/ML Engineer, you will develop and deploy machine learning models to optimize supply chain operations, enhance forecasting accuracy, improve inventory management, and streamline logistics. Collaborating with data scientists and analysts, you'll design solutions, conduct data analysis, and integrate models into existing systems, focusing on accuracy and reliability while staying current with industry advancements.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Solutions Engineer will lead technical sales processes, design customer solutions using Cloudera technologies, and build relationships to ensure client success. Responsibilities include conducting demonstrations, collaborating with account managers, and advocating for customer needs to product management.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.